Research On The Application Of Association Rule Mining Algorithm In The Comprehensive Service Platform Of Educational Affairs

Accompanied by the high speed development of informatization construction in our country's universities,every year in increasing scale of each university,and the number of people of schools is increasing too.The problem that comes with it is that the academic administrators also put pressure on the management and planning of the entire school's teachers and students.It is getting bigger and bigger,therefore,put the modern informatization technology applied to the educational administration management work,and put forward a set of wisdom and informatized new type of educational administration system is of vital importance.The application of data mining technology in every industry and field in China is already quite extensive,but in the education industry especially the education of institutions of higher learning is lack of information management applications.Based on its own investigation and research results in the academic affairs office of a university in Shandong,this article found that although its educational administration management system has realized the basic functions of student information import,online course selection,score entry and inquiry,and examination inquiry,it only stays in the right Basic ability of data query,statistics,import and export.Most of the data simply stays in the database from the moment it is entered into the system,and there is no effective and indepth exploration of such a huge amount of information.And related research has found that although the Academic Affairs Office has stored almost all the data and information of the entire school's teachers and students,as well as courses and grades,it has not been well used in daily work.For example,when students transfer to majors and minors once a year,students have no channels to understand the enrollment conditions of each college.The registration process also needs to manually fill in some selected subjects,grades and professional classes that have been stored in the database itself.Check the registration progress and review results,not to mention the synchronization and real-time of the news.Problems such as these also occur in each process link of each semester's workload declaration and teaching and research project evaluation of teachers in each college.The main work of this paper is first to fully understand the various analysis methods and mining steps of data mining technology,especially the development,pros and cons and application scenarios of association rule analysis algorithms.Finally,we choose to use the most typical Apriori algorithm in the analysis of association rules,explain its principle,advantages and disadvantages,and optimize and improve the Apriori algorithm.The optimization of the algorithm is mainly found in the first step of frequent item sets.Apriori algorithm has a large number of I/O operations to read the database.So in the process of scanning the item set,each child element is counted,and k-1 is generated.For high-order itemsets,if the count value of sub-elements is less than the current itemset order,they can be deleted or specially marked.When the k-order frequent itemsets are generated next time,the scanning operation of the database can be reduced,thereby improving the overall algorithm.effectiveness.Secondly,this article combines the development trend of contemporary informatization,splits and summarizes the many problems existing in the original educational administration system,and conducts in-depth research and planning on the design and implementation of the new educational administration system according to the design ideas of software engineering,and finally develops This set of "Integrated Educational Affairs Service Platform" was created.From the perspective of architecture design,Vue.js and Django two key technologies are used to develop and implement the system;From the angle of the function module design,this platform can be divided into eight function modules,and introduces its realized functions and application scenarios in turn;From the perspective of database design,detailed planning and design of database table structure,and fully considering the compatibility of the old system,the convenience of current use,and the expansibility and maintainability of the later stage are fully considered.At the end of this article,the improved Apriori algorithm is applied to this platform,and the data in the platform is deeply excavated and analyzed.In the application and analysis of the students' course selection and the scores of each subject,it is concluded that there is a large amount of knowledge in the application and analysis.Implied relationship,reasonable and effective analysis of the mining results,play to the advantages of data mining and potential,for teachers and management personnel provide solution for further decision.